Stanford University
Showing 2,401-2,500 of 2,673 Results
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Sanna Kaisa Wong Toropainen
Graduate Visiting Researcher Student, Computer Science
Current Research and Scholarly InterestsSanna Wong-Toropainen develops neuro-symbolic AI systems for regulatory compliance and legal reasoning. Her research at Stanford CodeX and University of Helsinki focuses on computational methods for interpreting EU digital regulations, including the AI Act, Data Act, and GDPR. Through the ComplianceTwin pilot with five European enterprises, she investigates how AI can transform regulatory texts into structured legal knowledge while maintaining explainability and auditability for high-stakes comp
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Emily Woods
Postdoctoral Scholar, Pathology
Current Research and Scholarly Interestsdevelopment of activity-based probes for specific diagnosis and treatment of Staphylococcus aureus infections and for detection of bacterial ear infections (otitis media)
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Caren Yu-Ju Wu
Postdoctoral Scholar, Neurosurgery
Current Research and Scholarly InterestsBasic, translational, immunological and clinical research
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Min Wu
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsResponsible AI, AI safety, trustworthy AI, robustness, explainability and interpretability.
Formal methods, automated verification, verification of deep neural networks, formal explainable AI. -
Yecun Wu
Postdoctoral Scholar, Physics
BioDr. Yecun Wu is a postdoctoral scholar in the physics department at Stanford University, working with Prof. Steven Chu. His research interests encompass a range of interdisciplinary fields, including quantum sensing, quantum materials, energy storage, and sustainability. Dr. Wu's current research aims to tackle the pressing issues and challenges in the energy field by utilizing quantum technology. He received his Ph.D. in Electrical Engineering from Stanford University, where he worked with Prof. Yi Cui and collaborating closely with Prof. Harold Y. Hwang. During his doctoral studies, he developed innovative methods to control the properties of two-dimensional materials using guest species, which opened new avenues for their use in quantum and energy applications.
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Yue Wu
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsI built computational methods to integrate and model biological time series, including metabolic dynamics, longitudinal multi-omics data, and micro-sampling. I reduce dimensions, built clusters, and search for causal links.
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Jinxi Xiang
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsI develop machine leanring methods to autonomate the digital pathology.
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Xingyao (Doria) Xiao
Postdoctoral Scholar, Education
BioDr. Xingyao (Doria) Xiao is a postdoctoral scholar at Stanford’s Graduate School of Education, working on the LEVANTE project—an international effort to better understand how children learn and develop across different cultures and contexts. Her research focuses on using advanced statistical methods, like Bayesian modeling and psychometrics, to study learning over time and improve how we measure it fairly.
At Stanford, Dr. Xiao collaborates with Professors Ben Domingue and Nilam Ram to help design research tools that work across languages, cultures, and educational systems, supporting more inclusive and accurate educational research worldwide. -
Yuyin Xiao
Postdoctoral Scholar, Economics
BioYuyin Xiao is the postdoctoral researcher of the Freeman Spogli Institute for International Studies at Stanford University. She received her MS and PhD from Shanghai Jiaotong University. Her research focuses almost exclusively on low- and middle-income countries and is concerned with: health policy, including health equity, supply, demand and utilization of health service programs, and research on health service systems; health technology and innovation, including digital health, development of digital health tools, and evaluation of the effectiveness of digital interventions. Yuyin’s papers have been published in leading academic journals, including British Medical Journal, Journal of Medical Internet Research, Journal of Biomedical Informatics, BMC Public Health and others.
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Zhen Xiao
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsApplying magnetic nanomaterials for bioimaging and cancer treatment
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Lin Xin
Postdoctoral Scholar, Physics
BioLin Xin is a Postdoctoral Scholar in the Physics Department at Stanford University. He received his Ph.D. from the Georgia Institute of Technology, following undergraduate studies at Shanghai Jiaotong University. His current research centers on advancing optical control of interactions among laser-cooled atoms, with an eye towards applications in quantum simulation, metrology, and computation. He has developed protocols in quantum optimal control for entanglement-enhanced eigenstates in spinor Bose-Einstein condensates.
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Bo Xiong
Postdoctoral Scholar, Biomedical Informatics
Current Research and Scholarly InterestsAI, Foundation Models, Biomedical Data Science
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熊剑 (Jian Xiong)
Postdoctoral Scholar, Chemical Engineering
BioI thrive to understand the roles of lysosomes in physiological and pathological conditions. Lysosomes are both degradation compartment and metabolic controlling hub, and dysregulation of lysosomal functions are frequently implicated in a vast number of diseases including neurodegenerative diseases, however, the systematic knowledge of the molecular mechanism by which lysosomal contributes to these diseases is lacking. Ion channels are the primary mediators of neuronal activity, defects in neuronal ion channel activity are linked with many kinds of neurodegenerative diseases. Interestingly, besides typical ion channels that are involved in the neuronal activity, defects in lysosomal ion channels, such as TRPML1, CLN7 and CLC-7 are also implicated in neuropathy. My previous work as Ph.D student in University of Texas MD Anderson Cancer Center focused on regulation of lysosomal function by ion channels and metabolites. I discovered a mechanism of lysosomal Na+ channel regulate mTORC1 activation by regulating lysosomal amino acid accumulation. I also discovered role of glutamine in controlling lysosomal degradation capacity. In the meantime, I developed novel methods to isolate organelles. My ultimate research goal is to understand the key developmental pathways and how alterations in gene sequences and expression contribute to human disease, therefore, I am pursuing independent academic researcher as my career goal. Starting Feb 2022, I work with Dr. Monther Abu-Remaileh at Stanford University on role of lysosomes in neurodegenerative diseases. I use genetics, chemical biology and omics approaches to study lysosome function under various physiological and pathological conditions, especially age-associated neurodegenerative disorders, and monogenic neurodegenerative lysosome storage diseases. In Stanford, I aim to integrate ionic regulation, metabolomic regulation and functional proteomic regulation to systematically understand the biology of lysosome in physiological conditions and pathological conditions.
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Lei Xiong
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsMy research focuses on develop deep learning methods to
1. Infer macrophage-tumor cells interaction using spatial multi-omics
2. Decipher the cis-regulatory code using a large language models
3. Predict enhancer-promoter interaction
4. Multi-omics integration
5. Build foundational model for single-cell genomics -
CHENHANG XU
Postdoctoral Scholar, Physics
BioI am a postdoctoral researcher at Stanford University in the Zong/Hwang group. I received my undergraduate and doctoral degrees from Shanghai Jiao Tong University (SJTU), where I specialized in pulsed laser deposition, the synthesis of complex oxide materials and MeV ultrafast electron diffraction (UED).
My research focuses on ultrafast structural dynamics in quantum materials using techniques such as MeV-UED, ultrafast electron microscopy (UEM), time-resolved X-ray diffraction, and pump–probe optical spectroscopy. These time-resolved probes are integrated with advanced and highly tunable sample environments, including in situ strain engineering and electrostatic gating, to actively control competing electronic, structural, and ferroic orders. This capability enables the design, discovery, and quantitative understanding of nonequilibrium phases, transient orders, and metastable states in quantum materials. -
Chunchen Xu
Postdoctoral Scholar, Psychology
BioI am currently a postdoc researcher at the Psychology Department at Stanford University. I study culture and the self in the context of AI-based smart technological developments. The first line of my work focuses on understanding and critiquing extant technological systems from a cultural perspective. I unpack cultural assumptions underlying conceptions of smart technology and examine technology's social and psychological impact. The second line of my work seeks to untether the self from extant mainstream meaning systems and open the space of the imaginary. I explore how historically marginalized cultural worldviews offer clues for diversifying conceptions of smart technology towards building a more equitable society and a caring ecology.
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Kun Xu
Postdoctoral Scholar, Mechanical Engineering
Current Research and Scholarly InterestsMaterials characterization by using advanced electron microscopy
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Pei Xu
Postdoctoral Scholar, Computer Science
Current Research and Scholarly Interestscharacter animation, physics-based character control, crowd simulation
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Weize Xu
Postdoctoral Scholar, Genetics
BioDr. Weize Xu is a postdoctoral researcher in Dr. Xiaojie Qiu's laboratory, where he focuses on advancing computational biology and genomics research. He earned his Ph.D. in Dr. Gang Cao's lab, where he made significant contributions to the development of computational methods and pipelines for spatial transcriptomics (MiP-Seq) and single-cell Hi-C (sciDLO Hi-C). His work during this time centered on enhancing data analysis frameworks, providing more precise insights into complex biological systems.
Dr. Xu is also an expert in the development of bioimaging processing softwares. During his Ph.D., he developed the U-FISH method, a deep learning-based approach for detecting signal points in FISH images. This innovative project involved curating a high-quality dataset from diverse sources, ensuring robust performance across various FISH data types. The resulting model demonstrated outstanding generalizability and included a user-friendly Web and LLM interface, making it accessible to researchers worldwide.
In addition to his Ph.D. research, Dr. Xu further honed his skills at SciLifeLab, where he worked under the mentorship of Dr. Wei Ouyang. There, he focused on web programming and developing key components for the Bioimage.IO deep learning platform, gaining valuable experience in creating innovative tools for computational biology.
With a solid foundation in computational biology, deep learning, and bioinformatics, Dr. Xu is passionate about driving cutting-edge research and contributing new perspectives to his field. He brings a unique combination of technical expertise and a collaborative mindset to his role in Dr. Xiaojie Qiu’s lab. -
Yuli Xu
Postdoctoral Scholar, Sociology
BioYuli obtained her Ph.D. in Economics from the University of California San Diego in 2025. Her research fields are Labor and Health Economics, with a focus on Female Labor Supply, Fertility, and Human Capital.
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Zhichen Xue
Postdoctoral Scholar, Photon Science, SLAC
BioWith his experience in design and synthesis of energy materials, he is dedicated to informing the development of next-generation battery materials through interdisciplinary research and applications. His recent research mainly focuses on advanced synchrotron characterization techniques and advanced cathode materials.
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Pavan Yadav
Postdoctoral Scholar, Chemistry
BioI am a Postdoctoral Researcher at Stanford University, California, United States of America (CA, USA). I am passionate about using my skills and research knowledge to impact the world positively. I believe that my research has the potential to help us address some of the world's most pressing challenges at a worldwide level. I am excited to continue my research and contribute to developing novel technologies and novel drug delivery carrier systems to help us create a more sustainable future.
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Sandeep Yadav
Postdoctoral Scholar, Energy Science and Engineering
BioSandeep Yadav is a postdoctoral scholar in the Department of Energy Resources Engineering at the Stanford Doerr School of Sustainability. His research focuses on advancing sustainable energy systems, with an emphasis on techno-economic analysis and modeling of carbon capture retrofits for industrial decarbonization and energy efficiency. He earned his Ph.D. in Energy Science and Engineering from the Indian Institute of Technology (IIT) Bombay, where he specialized in the techno-economic assessment of carbon capture technologies, data center cooling, and combined cooling and power systems. Sandeep is committed to supporting the global transition to low-carbon energy and is passionate about mentoring the next generation of scientists and engineers.
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Jielin Yan
Postdoctoral Scholar, Genetics
Current Research and Scholarly InterestsI'm interested in understanding how the human genome orchestrates cell fate decisions in development and disease by using high-throughput perturbation and screening methods.
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Liu Yang
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsMy current focus lies in analyzing bedside monitoring waveforms and electronic health record data to understand their correlations with adverse conditions in premature infants, and to explore effective solutions that can enhance the outcomes for these vulnerable patients.
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Qianru Yang
Postdoctoral Scholar, Neurosurgery
Current Research and Scholarly InterestsDeep Brain Stimulation for treating Parkinson's disease
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Wenhao Yang
Postdoctoral Scholar, Management Science and Engineering
BioWenhao Yang is a postdoctoral researcher in the Department of Management Science and Engineering (MS&E) at Stanford University, advised by Professor Jose Blanchet. He received his Ph.D. in Data Science (Statistics) from Peking University in 2023 and his B.S. in Statistics from the School of Mathematical Sciences at Peking University in 2018.
Wenhao’s research interests lie at the intersection of probability, statistics, and machine learning, with applications in operations research, reinforcement learning, and deep learning. His work focuses on developing modern statistical theory for large-scale models and designing practical algorithms with rigorous theoretical guarantees. His research has contributed to publications in leading venues including Annals of Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, ICML, NeurIPS, ICLR, AISTATS, with additional papers currently under revisions at Annals of Applied Probability.
For more details, please visit Wenhao’s personal website: https://web.stanford.edu/~yangwh/ -
Xiao Yang (杨潇)
Postdoctoral Scholar, Mechanical Engineering
BioXiao Yang is a postdoctoral fellow of Mechanical Engineering at Stanford University. Xiao received his bachelor degree from Tianjin University in China in June 2016, and obtained his doctoral degree from Tianjin University in China in June 2023. Xiao’s research interests focus on fabrication and application of functional liquid crystal elastomer composites.
